3D character creation system using kansei rule with the fitness extraction method

Masaki Ando, Masafumi Hagiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a 3D character creation system using an extraction method of kansei (sensibility) rule with fitness value. In the proposed system, a 3D character reflected kansei of the user is expressed with some constitution attributes. The attributes that are necessary to reflect kansei of the user are extracted as if-then rules by kansei rule extraction method. The consequent part of kansei rule has the fitness. By introducing the fitness, extracted kansei rules have priority. Therefore, kansei rules can be used effectively. 3D characters created by the proposed system and the user's evaluation values are stored as data, and kansei rules are extracted by analyzing the data. The extracted kansei rules are applied to create 3D characters. We have confirmed that the proposed system can create 3D characters reflected kansei of the user through experiments.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Fuzzy Systems - Proceedings
Pages1507-1512
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 10
Event2009 IEEE International Conference on Fuzzy Systems - Jeju Island, Korea, Republic of
Duration: 2009 Aug 202009 Aug 24

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2009 IEEE International Conference on Fuzzy Systems
CountryKorea, Republic of
CityJeju Island
Period09/8/2009/8/24

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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  • Cite this

    Ando, M., & Hagiwara, M. (2009). 3D character creation system using kansei rule with the fitness extraction method. In 2009 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 1507-1512). [5277198] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2009.5277198